Professional Overview
Experienced in LLM fine-tuning (GPT, Llama), RAG architectures, and NLP workflows using Hugging Face Trans formers and spaCy. Skilled in building end-to-end ML pipelines, statistical modeling, and deploying scalable appli cations. Proficient in Python and PyTorch with a focus on optimizing model performance, data preprocessing, and translating research into production-ready AI solutions. Collaborative developer passionate about solving complex problems with efficient algorithms and modular software design
Areas of Expertise
NLP & Prompt Engineering
Build natural language processing systems, fine-tune large language models, and craft reliable production prompts for AI-powered products.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
